Syrian refugees in Lebanon: a spatial study

dc.contributor.authorKuscevic, Casto Martín Montero
dc.contributor.authorRadmard, Hossein
dc.contributor.departmentDepartment of Economics
dc.contributor.facultyFaculty of Arts and Sciences (FAS)
dc.contributor.institutionAmerican University of Beirut
dc.date.accessioned2025-01-24T11:23:17Z
dc.date.available2025-01-24T11:23:17Z
dc.date.issued2020
dc.description.abstractAlmost seven years of catastrophic conflict and unrest in Syria have resulted in a colossal flow of the displaced population. According to The United Nation Refugee Agency (UNHCR), by the end of 2016, there were over one million registered Syrian refugees in Lebanon. This means compared to any other host country, Lebanon has the highest rate of refugee per local population. In this paper, we focus on refugees’ placement and residence, which have shown an uneven distribution among different regions of Lebanon. Maps generated by the available data show that districts with high refugee population rates are surrounded by districts with low population rates. Our results indicate that among other variables, access to credit is the most critical variable for explaining this spatial pattern. © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.
dc.identifier.doihttps://doi.org/10.1080/13504851.2019.1623862
dc.identifier.eid2-s2.0-85066980015
dc.identifier.urihttp://hdl.handle.net/10938/25677
dc.language.isoen
dc.publisherRoutledge
dc.relation.ispartofApplied Economics Letters
dc.sourceScopus
dc.subjectC31
dc.subjectLebanon
dc.subjectO53
dc.subjectR23
dc.subjectRefugee
dc.subjectSpatial econometrics
dc.subjectSyria
dc.subjectEconometrics
dc.subjectForced migration
dc.subjectMapping method
dc.subjectPolitical conflict
dc.subjectSpatial data
dc.subjectSpatial distribution
dc.titleSyrian refugees in Lebanon: a spatial study
dc.typeArticle

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